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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
To strengthen our team in the division 7.7 “Modeling and Simulation” in Berlin-Steglitz, starting 01.07.2026, we are looking for a Research Assistant (m/f/d) with a Ph.D. in Civil Engineering
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civil engineering or related area Good understanding of the structural behavior and material properties of concrete structures and modelling of civil structures. Knowledge of concrete durability and
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The Modelling & Theory Group (GMT) at SPEC is seeking a permanent researcher in the area of condensed matter theory, with a focus on numerical methods in nano- to mesoscopic quantum physics. Job
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 25 days ago
Description The department EPID, led by Prof. Berit Lange, at the Helmholtz Centre for Infection Research (HZI), isoffering the position of a Doctoral researcher (f/m/d) Modelling vector-borne diseases in
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, affect, and cognitive control — and how disruptions in these processes underlie psychiatric disorders. We use a multimodal approach combining fMRI, pharmacological manipulations, computational modeling
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, spanning data preparation, acquisition, ingestion, integration, model development, training, and evaluation across multiple modalities. This position engages collaboratively with faculty, PhD students, and
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contribute? · Contribute to ESRIC’s research on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches
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and ML pipelines for drug synergy, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is
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expertise and experience in theoretical models in labor and public economics as well as in microeconometrics and programming. This is a benefits-eligible position. The Research Assistant Professor is
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advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks